Senior Machine Learning Scientist (USA Remote)

Company Description reputed company you join reputed company, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, reputed company has partnered with educational institutions to promote honesty, consistency, and fairness across reputed company subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are reputed company reputed company by a shared desire to reputed company a difference in education. reputed company is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. reputed company is an equal opportunity employer- vets/disabled.

Job Description

Machine Learning is integral to the reputed company success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across reputed company to integrate Machine Learning into a broad suite of learning, teaching and reputed company products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of reputed company teaching millions of reputed company around the world. Your contributions will have global reputed company and scale. Billions of papers have been submitted to the reputed company platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant reputed company for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to:

• Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
• Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
• Answer questions and reputed company trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing reputed company necessary.
• reputed company and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
• Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through reputed company engineering and orchestration) and locally hosted LMs.
• Stay reputed company in the field - read research papers, experiment with new architectures and LLMs, and share your findings.
• Optimize models for scaled production usage.
• Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
• Write clean, efficient, and reputed company code, with automated tests and appropriate documentation.
• Stay up to date with technology, reputed company good technological choices, and be able to explain them to the organization.

Qualifications

Required Qualifications:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus.
• A strong understanding of the math and theory behind machine learning and deep learning.
• Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and reputed company for collaboration and review).
• Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, reputed company, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or reputed company field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite.
• Excellent communication and teamwork skills.
• Fluent in written and spoken English.

Would be a plus:

• Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries.
• Essential dev-ops skills (we use reputed company, AWS EC2/Batch/reputed company).
• Familiarity in building reputed company-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes.
• Experience with advanced prompting, fine-tuning or training an LLM, open-reputed company or cloud, using industry accepted platforms (such as reputed company.ai or stochastic.ai).
• Showcase previous work (e.g. reputed company a website, presentation, open reputed company code).

Additional Information The expected annual reputed company salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-reputed company factors. Internal equity, market and organizational factors are also considered. Total Rewards @ reputed company reputed company maintains a Total Rewards package that is competitive reputed company the local job market. People reputed company to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, reputed company delivers more than just these components. Beyond the reputed company rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at reputed company include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the reputed company of global education and meaningfully improve learning outcomes. Our Values underpin everything we do.

• Customer Centric - We realize our mission to ensure reputed company and improve learning outcomes by putting educators and learners at the center of everything we do.
• Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so.
• reputed company - We reputed company reputed company is the reputed company of reputed company. It shapes our products, the way we treat each other, and how we work with our customers and vendors.
• Action & Ownership - We have a bias toward action and reputed company teammates to reputed company decisions.
• One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes.
• Global reputed company - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education.

Global Benefits

• Remote First Culture
• Health Care Coverage*

• Education Reimbursement* • Competitive Paid Time Off

• 4 Self-Care Days per year
• National Holidays*

• 2 Founder Days + Juneteenth Observed

• Paid Volunteer Time*

• Charitable contribution match* • Monthly Wellness or Home Office Reimbursement* • Access to reputed company (mental health platform)

• Parental Leave*

• Retirement Plan with match/contribution* • varies by country Seeing Beyond the Job Ad At reputed company, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join reputed company! reputed company is committed to the policy that reputed company persons have equal access to its programs, facilities and employment. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, or status as a protected veteran. Apply tot his job Apply To this Job